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市场调查报告书
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1851796

数位双胞胎（DT）：市场占有率分析、产业趋势、统计数据和成长预测（2025-2030 年）

Digital Twin (DT) - Market Share Analysis, Industry Trends & Statistics, Growth Forecasts (2025 - 2030)
出版日期: | 出版商: Mordor Intelligence | 英文 135 Pages | 商品交期: 2-3个工作天内

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简介目录

数位双胞胎市场目前预计到 2025 年将达到 361.9 亿美元，到 2030 年将达到 1,802.8 亿美元，复合年增长率为 37.87%。

数位孪生（DT）-市场-IMG1

利好因素包括工业IoT平台的成熟、边缘人工智慧的广泛部署以及对安全关键基础设施的监管要求。製造业凭藉已建立的智慧工厂投资，仍然是最大的应用领域；而石油和天然气行业则呈现最强劲的成长，因为生产商在充满挑战的营运条件下寻求提高资产完整性。北美在区域市场中保持领先地位，但亚太地区正在缩小差距，中国、印度和日本的公共计画正在资助大规模数位化。虽然解决方案目前占据了大部分支出，但随着企业寻求整合方面的专业知识，服务也迅速扩张。云端采用率超过了本地部署，这表明人们对远端资料管理保障和扩充性架构的信心日益增强。网路安全漏洞和基于实体建模的人才短缺正在抑製成长前景，即使它们并未改变主要的招募方向。

全球数位双胞胎（DT）市场趋势与洞察

工业IoT平台快速成长

工业物联网 (IIoT) 的广泛应用提供了即时数据，实现了数位模型与工厂车间的同步。凭藉其强大的 Xcelerator 生态系统，西门子预计到 2024 年，其数位化业务收入将成长 22%，达到 90 亿欧元（97.2 亿美元）。Honeywell的 Forge 平台每天处理超过 30 亿资料点，将客户工厂的非计划停机时间减少了 35%。 OPC UA 和 MQTT 等标准化通讯协定降低了整合摩擦，使工厂能够在数週内而非数月内部署孪生模型。最终成果包括：显着降低成本、加速根本原因分析、更可预测的产能规划。

在设备层面扩展边缘/AI推理

将分析从云端迁移到边缘可以降低延迟并维护资料主权。微软和西门子共同开发的工业基础模型（IFM）可对资产进行推理，从而实现毫秒异常检测响应。奥迪目前在边缘运行带有孪生体的虚拟PLC，优化了实际生产线的週期时间。由于向上游传输的资料量极少，本地模拟也限制了频宽消耗。专用晶片和容器化运行时进一步降低了二级供应商的部署成本，并加速了整个价值链中人工智慧孪生体的应用。

IT/OT堆迭中的网路实体安全漏洞

西班牙国家网路安全研究所指出，连接IT和OT的孪生系统扩大了攻击面，使流程控制器面临资料完整性威胁。近期发生的勒索软体事件迫使製造业停产数日，以便清理孪生资料湖。由于企业需要整合零信任架构并培训员工，平均部署延迟长达18个月。多租户孪生系统增加了复杂性，因为必须在不影响协作的情况下隔离合作伙伴的存取权限。

细分市场分析

在嵌入式工业嵌入式联网感测器、预测性维护程序和持续改善文化的驱动下，製造业将在2024年占据数位双胞胎市场35.8%的份额。汽车和电子工厂正在部署生产线级孪生模型，以分析节拍时间变化以及品质和产量比率模式，从而实现两位数的废品率降低。能源效率的提高进一步提升了投资回报，尤其是在资源密集的冶金和水泥产业。预计即使其他行业迎头赶上，製造业仍将保持规模优势并稳定扩张。

预计到2030年，石油和天然气产业将以29.3%的复合年增长率成长，这主要得益于目前规模较小的海上作业者对远端侦测和故障隔离能力的需求。上游产业正在部署储存系统，该系统整合了地震数据和生产测井数据，使工程师能够在钻井钻机部署前模拟钻井场景。中游企业正在应用储层孪生系统进行管道洩漏检测，而像壳牌这样的下游炼油厂在使用检验DNV标准的储层孪生系统后，计划外停机时间减少了20%。政府的脱碳目标进一步推动了储层孪生系统的应用，因为该系统能够优化火炬燃烧最小化和热能整合策略。在上游和中游领域，人工智慧驱动的情境测试正在将储层孪生系统从监测系统提升为决策支援系统，从而扩大其在整体部署中的份额。

2024年，解决方案类别（软体平台、实体引擎和连网硬体）将占支出总额的63.6%，企业将致力于取得核心能力。供应商正在将建模库和视觉化引擎捆绑销售，使流程工程师无需从头开始编写程式码即可建立模型。授权模式正转向基于使用量的分级模式，从而扩大了二级供应商的覆盖范围。

然而，服务规模正以31.4%的复合年增长率快速扩张。实施顾问负责调整资料管道、建立语意模型并检验模拟精度。託管服务合约监控孪生健康指标、应用修补程式并调整演算法偏差。劳斯莱斯的TotalCare服务以孪生分析为支撑，确保引擎执行时间。随着基于结果的合约日益普及，服务合作伙伴承担了更多风险，将费用与效率提升而非计费工时挂钩。这种模式增强了客户忠诚度，并鼓励平台持续改进。

数位数位双胞胎市场报告按应用（製造业、能源电力、航太与国防、石油天然气、汽车等）、组件（解决方案/平台、服务）、部署类型（本地部署、云端部署）、公司规模（大型企业、中小企业）和地区进行细分。

区域分析

到2024年，北美将占据数位双胞胎市场38.4%的收入份额，这主要得益于工业4.0的早期部署、广泛的航太项目以及工业SaaS领域强劲的创业融资。美国航空监管机构对基于模拟的认证的认可，正在推动飞机原始设备製造商（OEM）和一级供应商对数位孪生技术的投资。加拿大和美国的能源巨头正在管线和LNG接收站部署数位孪生技术，以降低甲烷外洩率，从而回应日益严格的环境政策。由于网路保险框架成熟且资料保护义务标准化，云端运算的应用尤为强劲。

亚太地区将以27.2%的复合年增长率领跑，主要得益于大型政府计划的推动。中国的「数位中国」建设计画要求为新建基础设施建设都市区数位孪生模型，这将为国内外供应商创造大量的采购机会。印度的「桑格姆数位双胞胎」计画将网路孪生能力整合到全国电讯升级中，为6G做好准备。日本的NTT数位孪生计算倡议支援城市规模的数位孪生模型，为交通和灾害应变演算法提供数据支援。韩国和新加坡则着重推进即时碳足迹追踪，并积极推广智慧工厂和港口试点计画。由于该地区在供应链中扮演核心角色，其累积的经验将迅速传播到全球原始设备製造商（OEM）手中。

在监管要求的推动下，欧洲正稳步向前发展。数位产品护照迫使製造商在产品生命週期内实现可追溯性，实际上使大规模生产的产品必须具备轻量化的「孪生体」特性。德国的工业4.0平台提供标准化的管理框架指南，并降低了中小企业的整合成本。法国正在投资虚拟造船厂「孪生体」以维持海军建设的竞争力，北欧国家则利用建筑「孪生体」来满足净零排放标准。阿联酋和沙乌地阿拉伯正在试点油田“孪生体”和巨型计划城市“孪生体”，以期在大规模扩张之前获得效率和永续性的效益。

其他福利：

  • Excel格式的市场预测（ME）表
  • 3个月的分析师支持

目录

第一章 引言

  • 研究假设和市场定义
  • 调查范围

第二章调查方法

第三章执行摘要

第四章 市场情势

  • 市场概览
  • 市场驱动因素
    • 工业IoT平台快速成长
    • 在设备层面扩展边缘/AI推理
    • 随着安全关键型基础设施数位化，资产密集型产业的监管将更加严格。
    • 对虚拟试运行的需求增加，以降低棕地计划的资本支出
    • 基于结果的服务合约的兴起需要即时资产副本数据
    • 欧盟和美国数位产品护照的兴起
  • 市场限制
    • IT/OT堆迭中的网路实体安全漏洞
    • 缺乏专业的基于物理的建模专家
    • 联邦孪生体产生的资料的智慧财产权所有权不透明
    • 仿真标准的碎片化限制了互通性。
  • 关键法规结构评估
  • 价值链分析
  • 技术展望
  • 波特五力模型
    • 供应商的议价能力
    • 买方的议价能力
    • 新进入者的威胁
    • 替代品的威胁
    • 竞争对手之间的竞争
  • 关键相关人员影响评估
  • 主要用例和案例研究
  • 宏观经济因素对市场的影响
  • 投资分析

第五章 市场区隔

  • 透过使用
    • 製造业
    • 能源与电力
    • 航太/国防
    • 石油和天然气
    • 车
    • 其他的
  • 按组件
    • 解决方案/平台
    • 服务
  • 透过部署模式
    • 本地部署
    • 云
  • 按公司规模
    • 大公司
    • 中小企业
  • 按地区
    • 北美洲
      • 美国
      • 加拿大
      • 墨西哥
    • 南美洲
      • 巴西
      • 阿根廷
      • 其他南美洲
    • 欧洲
      • 英国
      • 德国
      • 法国
      • 义大利
      • 西班牙
      • 北欧国家
      • 其他欧洲地区
    • 中东和非洲
      • 中东
      • 沙乌地阿拉伯
      • 阿拉伯聯合大公国
      • 土耳其
      • 其他中东地区
      • 非洲
      • 南非
      • 埃及
      • 奈及利亚
      • 其他非洲地区
    • 亚太地区
      • 中国
      • 印度
      • 日本
      • 韩国
      • ASEAN
      • 澳洲
      • 纽西兰
      • 亚太其他地区

第六章 竞争情势

  • 市场集中度
  • 策略趋势
  • 市占率分析
  • 公司简介
    • ANSYS, Inc.
    • AVEVA Group plc
    • Bentley Systems, Incorporated
    • Cal-Tek SRL
    • Cityzenith, Inc.
    • Dassault Systemes SE
    • General Electric Company
    • Hexagon AB
    • International Business Machines Corporation
    • Lanner Group Limited（Royal HaskoningDHV）
    • Mevea Ltd.
    • Microsoft Corporation
    • Oracle Corporation
    • PTC Inc.
    • Rescale, Inc.
    • Robert Bosch GmbH（Bosch.IO）
    • SAP SE
    • Schneider Electric SE
    • Siemens AG
    • Amazon Web Services, Inc.

第七章 市场机会与未来展望

简介目录
Product Code: 66631

The digital twin market currently stands at USD 36.19 billion in 2025 and is projected to reach USD 180.28 billion in 2030, advancing at a 37.87% CAGR.

Digital Twin (DT) - Market - IMG1

Tailwinds include the maturation of industrial IoT platforms, wider edge-AI deployment, and regulatory requirements for safety-critical infrastructure. Manufacturing remains the largest application thanks to established smart-factory investments, while Oil and Gas shows the strongest growth as producers seek asset-integrity gains in harsh operating conditions. Regionally, North America retains the lead, but Asia-Pacific is closing the gap as public programs in China, India, and Japan channel funding toward large-scale digitalization. Solutions account for most spending today, yet services are scaling quickly as firms seek integration expertise. Cloud deployment is growing faster than on-premises, signaling rising confidence in remote data-management safeguards and scalable architectures. Cyber-security gaps and scarce physics-based modeling talent temper the growth outlook, though they have not altered the primary trajectory of adoption.

Global Digital Twin (DT) Market Trends and Insights

Rapid growth of industrial IoT platforms

Widespread IIoT deployment supplies real-time data that keeps digital models synchronized with factory floors. Siemens reported EUR 9 billion (USD 9.72 billion) digital business revenue in 2024, up 22% on the strength of its Xcelerator ecosystem. Honeywell's Forge platform processes 3 billion+ datapoints daily, cutting unplanned downtime by 35% in client plants. Standardized protocols such as OPC UA and MQTT reduce integration friction, enabling plants to deploy twins in weeks rather than months. The result is steady cost avoidance, quicker root-cause analysis, and more predictable capacity planning.

Expansion of edge/AI inference at the device level

Moving analytics from cloud to edge trims latency and preserves data sovereignty. Microsoft and Siemens co-developed Industrial Foundation Models that run inference at the asset, allowing millisecond-level responses for anomaly detection. Audi now operates virtual PLCs through edge-deployed twins that optimize cycle times in real manufacturing lines. Local simulation also limits bandwidth consumption because only exception of data moves upstream. Specialized chips and containerized runtimes further cut deployment costs for tier-two suppliers, accelerating the spread of AI-ready twins throughout value chains.

Cyber-physical security vulnerabilities across IT/OT stacks

The Spanish National Cybersecurity Institute notes that twins bridging IT and OT widen attack surfaces, exposing process controllers to data-integrity threats. Recent ransomware events forced manufacturers to halt production for days while cleansing twin data lakes. Average deployment delays of 18 months arise as firms integrate zero-trust architectures and train staff. Multi-tenant twins add complexity because partner access must be segmented without slowing collaboration.

Other drivers and restraints analyzed in the detailed report include:

  1. Regulatory push for asset-intensive industries to digitise safety-critical infrastructure
  2. Demand for virtual commissioning to cut CAPEX
  3. Shortage of domain-specific physics-based modelling expertise

For complete list of drivers and restraints, kindly check the Table Of Contents.

Segment Analysis

Manufacturing contributed 35.8% of the digital twin market in 2024 thanks to embedded IIoT sensors, predictive maintenance programs, and continuous-improvement cultures. Automotive and electronics plants deploy line-level twins to analyze takt-time fluctuations and quality-yield patterns, trimming scrap rates by double digits. Energy-efficiency gains add another payback layer, particularly in resource-intensive metallurgy and cement operations. The segment is forecast to expand steadily, preserving its quantitative edge even as other verticals catch up.

Oil and Gas, though smaller today, is projected to grow at a 29.3% CAGR to 2030 as offshore operators require remote inspection and fault-isolation capabilities. The upstream segment deploys reservoir twins that integrate seismic data and production logs, allowing engineers to simulate well-workover scenarios before mobilizing rigs. Midstream companies apply pipeline twins for leak detection, while downstream refineries like Shell have documented 20% unplanned downtime reductions using twins verified by DNV standards. Government decarbonization targets further propel adoption as twins optimize flare minimization and heat-integration strategies. Across both segments, AI-assisted scenario testing elevates twins from monitoring to decision-support systems, reinforcing their share of total deployments.

The solutions category-software platforms, physics engines, and connected hardware-accounted for 63.6% of spending in 2024 as companies acquired core capabilities. Vendors bundle modeling libraries with visualization engines so process engineers can assemble replicas without coding from scratch. Licensing models are shifting to consumption-based tiers, broadening access among tier-two suppliers.

Services, however, are scaling faster at a 31.4% CAGR. Implementation consultancies align data pipelines, create semantic models, and validate simulation fidelity. Managed-service contracts monitor twin health metrics, apply patches, and tune algorithms for drift, yielding predictable OPEX for asset owners. As outcome-based agreements proliferate-Rolls-Royce TotalCare guarantees engine uptime backed by twin analytics-service partners assume more risk, tying fees to efficiency gains rather than billable hours. This model strengthens customer loyalty and encourages continuous platform enhancements.

The Digital Twin Market Report is Segmented by Application (Manufacturing, Energy and Power, Aerospace and Defense, Oil and Gas, Automotive, and Others), Component (Solutions/Platforms, and Services), Deployment Mode (On-Premises, and Cloud), Enterprise Size (Large Enterprises, and Small and Medium Enterprises (SMEs)), and Geography.

Geography Analysis

North America commanded 38.4% of digital twin market revenue in 2024 driven by early Industry 4.0 rollouts, extensive aerospace programs, and robust venture funding for industrial SaaS. U.S. aviation regulators' acceptance of simulation-based certification has spurred widespread twin investment among aircraft OEMs and Tier-1 suppliers. Energy majors in Canada and the United States deploy pipeline and LNG terminal twins to cut methane leak rates, aligning with tightening environmental policy. Cloud adoption is particularly strong due to mature cyber-insurance frameworks and standardized data-protection mandates.

Asia-Pacific posts the highest CAGR at 27.2%, supported by government megaprojects. China's Digital China Construction plan mandates urban digital twins for new infrastructure, creating large procurement pipelines for domestic and foreign vendors. India's Sangam Digital Twin scheme integrates network twin capability into nationwide telecom upgrades as the country moves toward 6G readiness. Japan's NTT Digital Twin Computing Initiative supports city-scale replicas that feed transportation and disaster-response algorithms. South Korea and Singapore push smart-factory and smart-port pilots, emphasizing real-time carbon-footprint tracking. The region's supply-chain centrality means lessons learned here propagate quickly to global OEMs.

Europe advances steadily as regulatory imperatives take center stage. The digital product passport forces manufacturers to embed traceability across product life cycles, effectively making a lightweight twin mandatory for high-volume goods. Germany's Plattform Industrie 4.0 provides standardized administration shell guidelines, reducing integration overhead for SMEs. France invests in virtual shipyard twins to maintain competitive edge in naval construction, while the Nordics use building twins to meet net-zero codes. The Middle East and Africa remain nascent but promising: the UAE and Saudi Arabia are piloting oil-field twins and giga-project city twins, seeking efficiency and sustainability benefits prior to large-scale expansion.

  1. ANSYS, Inc.
  2. AVEVA Group plc
  3. Bentley Systems, Incorporated
  4. Cal-Tek S.R.L.
  5. Cityzenith, Inc.
  6. Dassault Systemes SE
  7. General Electric Company
  8. Hexagon AB
  9. International Business Machines Corporation
  10. Lanner Group Limited (Royal HaskoningDHV)
  11. Mevea Ltd.
  12. Microsoft Corporation
  13. Oracle Corporation
  14. PTC Inc.
  15. Rescale, Inc.
  16. Robert Bosch GmbH (Bosch.IO)
  17. SAP SE
  18. Schneider Electric SE
  19. Siemens AG
  20. Amazon Web Services, Inc.

Additional Benefits:

  • The market estimate (ME) sheet in Excel format
  • 3 months of analyst support

TABLE OF CONTENTS

1 INTRODUCTION

  • 1.1 Study Assumptions and Market Definition
  • 1.2 Scope of the Study

2 RESEARCH METHODOLOGY

3 EXECUTIVE SUMMARY

4 MARKET LANDSCAPE

  • 4.1 Market Overview
  • 4.2 Market Drivers
    • 4.2.1 Rapid growth of industrial IoT platforms
    • 4.2.2 Expansion of edge/AI inference at the device level
    • 4.2.3 Regulatory push for asset-intensive industries to digitise safety-critical infrastructure
    • 4.2.4 Demand for virtual commissioning to cut CAPEX in brownfield projects
    • 4.2.5 Rise of outcome-based service contracts needing real-time asset replica data
    • 4.2.6 Proliferation of digital product passports in EU and U.S.
  • 4.3 Market Restraints
    • 4.3.1 Cyber-physical security vulnerabilities across IT/OT stacks
    • 4.3.2 Shortage of domain-specific physics-based modelling expertise
    • 4.3.3 Opaque IP ownership of data generated in federated twins
    • 4.3.4 Fragmentation of simulation standards limiting interoperability
  • 4.4 Evaluation of Critical Regulatory Framework
  • 4.5 Value Chain Analysis
  • 4.6 Technological Outlook
  • 4.7 Porter's Five Forces
    • 4.7.1 Bargaining Power of Suppliers
    • 4.7.2 Bargaining Power of Buyers
    • 4.7.3 Threat of New Entrants
    • 4.7.4 Threat of Substitutes
    • 4.7.5 Competitive Rivalry
  • 4.8 Impact Assessment of Key Stakeholders
  • 4.9 Key Use Cases and Case Studies
  • 4.10 Impact on Macroeconomic Factors of the Market
  • 4.11 Investment Analysis

5 MARKET SEGMENTATION

  • 5.1 By Application
    • 5.1.1 Manufacturing
    • 5.1.2 Energy and Power
    • 5.1.3 Aerospace and Defense
    • 5.1.4 Oil and Gas
    • 5.1.5 Automotive
    • 5.1.6 Others
  • 5.2 By Component
    • 5.2.1 Solutions/Platforms
    • 5.2.2 Services
  • 5.3 By Deployment Mode
    • 5.3.1 On-premises
    • 5.3.2 Cloud
  • 5.4 By Enterprise Size
    • 5.4.1 Large Enterprises
    • 5.4.2 Small and Medium Enterprises (SMEs)
  • 5.5 By Geography
    • 5.5.1 North America
      • 5.5.1.1 United States
      • 5.5.1.2 Canada
      • 5.5.1.3 Mexico
    • 5.5.2 South America
      • 5.5.2.1 Brazil
      • 5.5.2.2 Argentina
      • 5.5.2.3 Rest of South America
    • 5.5.3 Europe
      • 5.5.3.1 United Kingdom
      • 5.5.3.2 Germany
      • 5.5.3.3 France
      • 5.5.3.4 Italy
      • 5.5.3.5 Spain
      • 5.5.3.6 Nordics
      • 5.5.3.7 Rest of Europe
    • 5.5.4 Middle East and Africa
      • 5.5.4.1 Middle East
      • 5.5.4.1.1 Saudi Arabia
      • 5.5.4.1.2 United Arab Emirates
      • 5.5.4.1.3 Turkey
      • 5.5.4.1.4 Rest of Middle East
      • 5.5.4.2 Africa
      • 5.5.4.2.1 South Africa
      • 5.5.4.2.2 Egypt
      • 5.5.4.2.3 Nigeria
      • 5.5.4.2.4 Rest of Africa
    • 5.5.5 Asia-Pacific
      • 5.5.5.1 China
      • 5.5.5.2 India
      • 5.5.5.3 Japan
      • 5.5.5.4 South Korea
      • 5.5.5.5 ASEAN
      • 5.5.5.6 Australia
      • 5.5.5.7 New Zealand
      • 5.5.5.8 Rest of Asia-Pacific

6 COMPETITIVE LANDSCAPE

  • 6.1 Market Concentration
  • 6.2 Strategic Moves
  • 6.3 Market Share Analysis
  • 6.4 Company Profiles (includes Global level Overview, Market level overview, Core Segments, Financials as available, Strategic Information, Market Rank/Share for key companies, Products and Services, and Recent Developments)
    • 6.4.1 ANSYS, Inc.
    • 6.4.2 AVEVA Group plc
    • 6.4.3 Bentley Systems, Incorporated
    • 6.4.4 Cal-Tek S.R.L.
    • 6.4.5 Cityzenith, Inc.
    • 6.4.6 Dassault Systemes SE
    • 6.4.7 General Electric Company
    • 6.4.8 Hexagon AB
    • 6.4.9 International Business Machines Corporation
    • 6.4.10 Lanner Group Limited (Royal HaskoningDHV)
    • 6.4.11 Mevea Ltd.
    • 6.4.12 Microsoft Corporation
    • 6.4.13 Oracle Corporation
    • 6.4.14 PTC Inc.
    • 6.4.15 Rescale, Inc.
    • 6.4.16 Robert Bosch GmbH (Bosch.IO)
    • 6.4.17 SAP SE
    • 6.4.18 Schneider Electric SE
    • 6.4.19 Siemens AG
    • 6.4.20 Amazon Web Services, Inc.

7 MARKET OPPORTUNITIES AND FUTURE OUTLOOK

  • 7.1 White-space and Unmet-need Assessment